Election-based optimization algorithm with deep learning-enabled false data injection attack detection in cyber-physical systems

Election-based optimization algorithm with deep learning-enabled false data injection attack detection in cyber-physical systems

Cyber-physical systems (CPSs) are affected by cyberattacks once they are more connected to cyberspace. Advanced CPSs are highly complex and susceptible to attacks such as false data injection attacks (FDIA) targeted to mislead the systems and make them unstable. Leveraging an integration of anomaly...

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Bibliographic Details
Main Authors: Hend Khalid Alkahtani, Nuha Alruwais, Asma Alshuhail, Nadhem NEMRI, Achraf Ben Miled, Ahmed Mahmud
Format: Article
Language:English
Published: AIMS Press 2024-04-01
Series:AIMS Mathematics
Subjects:
cyber-physical system
false data injection attack
deep learning
election-based optimization
ensemble learning
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2024731?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.2024731?viewType=HTML

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